Tag: authors
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Docker: Tool Calling with Local LLMs: A Practical Evaluation
Source URL: https://www.docker.com/blog/local-llm-tool-calling-a-practical-evaluation/ Source: Docker Title: Tool Calling with Local LLMs: A Practical Evaluation Feedly Summary: Which local model should I use for tool calling? When building GenAI and agentic applications, one of the most pressing and persistent questions is: “Which local model should I use for tool calling?” We kept hearing again and again,…
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The Register: More trouble for authors as Meta wins Llama drama AI scraping case
Source URL: https://www.theregister.com/2025/06/27/meta_llama_author_lawsuit/ Source: The Register Title: More trouble for authors as Meta wins Llama drama AI scraping case Feedly Summary: Authors are having a hard time protecting their works from the maws of the LLM makers Californian courts have not been kind to authors this week, with a second ruling going against an unlucky…
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Slashdot: Meta Beats Copyright Suit From Authors Over AI Training on Books
Source URL: https://tech.slashdot.org/story/25/06/25/2127222/meta-beats-copyright-suit-from-authors-over-ai-training-on-books Source: Slashdot Title: Meta Beats Copyright Suit From Authors Over AI Training on Books Feedly Summary: AI Summary and Description: Yes Summary: This text discusses a significant court ruling regarding Meta’s use of copyrighted books to train its generative AI model, Llama. The ruling highlights the complexities of copyright law as it…
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Slashdot: Microsoft Sued By Authors Over Use of Books in AI Training
Source URL: https://news.slashdot.org/story/25/06/25/2137220/microsoft-sued-by-authors-over-use-of-books-in-ai-training?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft Sued By Authors Over Use of Books in AI Training Feedly Summary: AI Summary and Description: Yes Summary: This text discusses a lawsuit against Microsoft regarding the unauthorized use of authors’ books to train its Megatron AI model. This case highlights significant legal and ethical issues surrounding AI…
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Wired: Meta Wins Blockbuster AI Copyright Case—But There’s a Catch
Source URL: https://www.wired.com/story/meta-scores-victory-ai-copyright-case/ Source: Wired Title: Meta Wins Blockbuster AI Copyright Case—But There’s a Catch Feedly Summary: A federal judge ruled that Meta did not violate the law when it trained its AI models on 13 authors’ books. AI Summary and Description: Yes Summary: A recent ruling by a federal judge concluded that Meta’s training…
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Simon Willison’s Weblog: Anthropic wins a major fair use victory for AI — but it’s still in trouble for stealing books
Source URL: https://simonwillison.net/2025/Jun/24/anthropic-training/#atom-everything Source: Simon Willison’s Weblog Title: Anthropic wins a major fair use victory for AI — but it’s still in trouble for stealing books Feedly Summary: Anthropic wins a major fair use victory for AI — but it’s still in trouble for stealing books Major USA legal news for the AI industry today.…
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Simon Willison’s Weblog: AbsenceBench: Language Models Can’t Tell What’s Missing
Source URL: https://simonwillison.net/2025/Jun/20/absencebench/#atom-everything Source: Simon Willison’s Weblog Title: AbsenceBench: Language Models Can’t Tell What’s Missing Feedly Summary: AbsenceBench: Language Models Can’t Tell What’s Missing Here’s another interesting result to file under the “jagged frontier" of LLMs, where their strengths and weaknesses are often unintuitive. Long context models have been getting increasingly good at passing "Needle…
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Slashdot: How Do Olympiad Medalists Judge LLMs in Competitive Programming?
Source URL: https://slashdot.org/story/25/06/17/149238/how-do-olympiad-medalists-judge-llms-in-competitive-programming?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: How Do Olympiad Medalists Judge LLMs in Competitive Programming? Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a newly established benchmark demonstrating that large language models (LLMs) are not yet capable of outperforming elite human coders, particularly in problem-solving contexts. The findings indicate limitations in the…
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Slashdot: Meta’s Llama 3.1 Can Recall 42% of the First Harry Potter Book
Source URL: https://slashdot.org/story/25/06/15/2230206/metas-llama-31-can-recall-42-of-the-first-harry-potter-book?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Meta’s Llama 3.1 Can Recall 42% of the First Harry Potter Book Feedly Summary: AI Summary and Description: Yes Summary: The text discusses significant findings from a research study that highlights the memorization capabilities of Llama 3.1 70B, an AI model from Meta. It raises concerns about potential legal…
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Simon Willison’s Weblog: Design Patterns for Securing LLM Agents against Prompt Injections
Source URL: https://simonwillison.net/2025/Jun/13/prompt-injection-design-patterns/#atom-everything Source: Simon Willison’s Weblog Title: Design Patterns for Securing LLM Agents against Prompt Injections Feedly Summary: This a new paper by 11 authors from organizations including IBM, Invariant Labs, ETH Zurich, Google and Microsoft is an excellent addition to the literature on prompt injection and LLM security. In this work, we describe…